{"id":"W4411395626","doi":"10.1016/j.cjco.2025.06.009","title":"Training Nonexpert Users in Cardiopulmonary Point-of-Care Ultrasound Using a Virtual Curriculum and a Teleconsultation Model: A Multicentre Study","year":2025,"lang":"en","type":"article","venue":"CJC Open","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Calgary; University of Manitoba; Queen's University; Women's College Hospital; Public Health Ontario; Dalhousie University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Department of Medicine, School of Medicine, Queen's University; Pfizer Canada; Natural Sciences and Engineering Research Council of Canada; Pfizer; Queen's University; Canadian Cardiovascular Society","keywords":"Point of care ultrasound; Curriculum; Point (geometry); Medicine; Point of care; Point-of-care testing; Cardiac Ultrasound; Medical physics; Medical education; Ultrasound; Medical emergency; Multimedia; Physical therapy; Computer science; Psychology; Nursing; Radiology; Pedagogy; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004592937,0.0006826226,0.0007296379,0.001023323,0.001583878,0.001121761,0.001406792,0.0009784213,0.002137703],"category_scores_gemma":[0.006255622,0.0006699507,0.0008657781,0.0008908886,0.0009895995,0.0009436777,0.001444795,0.001023562,0.0006488709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003022416,"about_ca_system_score_gemma":0.00417666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03938168,"about_ca_topic_score_gemma":0.07634322,"domain_scores_codex":[0.9961867,0.001352168,0.000263056,0.000455357,0.0007792065,0.0009636324],"domain_scores_gemma":[0.9942213,0.0009740279,0.001101521,0.000343562,0.001239211,0.002120327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.00520157,0.0569727,0.8564995,0.0007140041,0.000234025,0.000798105,0.02599513,0.0002697153,0.004175445,0.00009534605,0.0009412005,0.04810328],"study_design_scores_gemma":[0.0009987889,0.06031343,0.9175859,0.0001351408,0.0001474369,0.0003648027,0.01799844,0.0004161015,0.0007365548,0.00003788374,0.001197242,0.00006824708],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993966,0.00003382667,0.00004209432,0.00001698179,0.000003017429,0.0003348872,0.00002641861,0.00000177493,0.0001445724],"genre_scores_gemma":[0.9981687,0.0001215378,0.000513723,0.0001372025,0.00001176583,0.0006078734,0.00008136131,0.000002958212,0.0003548884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03938168,"threshold_uncertainty_score":0.07830489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04974346426431472,"score_gpt":0.3889473777993969,"score_spread":0.3392039135350822,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}